max_stars_repo_path stringlengths 4 245 | max_stars_repo_name stringlengths 7 115 | max_stars_count int64 101 368k | id stringlengths 2 8 | content stringlengths 6 1.03M |
|---|---|---|---|---|
lit_nlp/examples/models/glue_models_int_test.py | eichinflo/lit | 2,854 | 12723478 | """Integration tests for lit_nlp.examples.models.glue_models."""
from absl.testing import absltest
from lit_nlp.examples.models import glue_models
import transformers
class GlueModelsIntTest(absltest.TestCase):
def test_sst2_model_predict(self):
# Create model.
model_path = "https://storage.googleapis.co... |
boltstream/migrations/0004_user_uuid.py | geekpii/boltstream | 1,735 | 12723488 | <gh_stars>1000+
# Generated by Django 2.2 on 2019-05-12 18:20
import uuid
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [("boltstream", "0003_streamsession")]
operations = [
migrations.AddField(
model_name="user",
name="uuid"... |
code/old-version/restrictedBoltzmannMachine.py | diksha42/erecognition | 166 | 12723500 | """Implementation of restricted boltzmann machine
You need to be able to deal with different energy functions
This allows you to deal with real valued units.
TODO: monitor overfitting
"""
__author__ = "<NAME>"
__contact__ = "<EMAIL>"
import numpy as np
from common import *
EXPENSIVE_CHECKS_ON = False
# TODO: dif... |
DynaMaze/DynaQ+.py | nabeelfarooqui98/Reinforcement-Learning-Implementation | 116 | 12723568 | <filename>DynaMaze/DynaQ+.py
import numpy as np
ROWS = 6
COLS = 9
S = (2, 0)
G = (0, 8)
BLOCKS = [(1, 2), (2, 2), (3, 2), (0, 7), (1, 7), (2, 7), (4, 5)]
ACTIONS = ["left", "up", "right", "down"]
class Maze:
def __init__(self):
self.rows = ROWS
self.cols = COLS
self.start = S
sel... |
__scraping__/centralbankofindia.co.in - scrapy/main.py | dhmo1900/python-examples | 140 | 12723584 |
# author: Bartlomiej "furas" Burek (https://blog.furas.pl)
# date: 2021.10.04
#
# title: Scrapy returning None on querying by xpath
# url: https://stackoverflow.com/questions/69442962/scrapy-returning-none-on-querying-by-xpath/69443343#69443343
# [Scrapy returning None on querying by xpath](https://stackoverflow.com/... |
raiden/tests/benchmark/_codespeed.py | tirkarthi/raiden | 2,101 | 12723603 | <filename>raiden/tests/benchmark/_codespeed.py
import json
import os
import warnings
import requests
try:
_CODESPEED_USER = os.environ["CODESPEED_USER"]
_CODESPEED_PASSWORD = os.environ["CODESPEED_PASSWORD"]
_BENCHMARK_HOST = os.environ["BENCHMARK_HOST"]
except KeyError:
warnings.warn(
"Code... |
container_files/ipython_extra_config.py | kstepanmpmg/mldb | 665 | 12723617 | c = get_config()
c.NotebookApp.ip = '{{IPYTHON_NB_LISTEN_ADDR}}'
c.NotebookApp.port = {{IPYTHON_NB_LISTEN_PORT}}
c.NotebookApp.open_browser = False
c.NotebookApp.notebook_dir = u'{{IPYTHON_NB_DIR}}'
c.NotebookApp.base_url = '{{HTTP_BASE_URL}}/{{IPYTHON_NB_PREFIX}}'
c.NotebookApp.tornado_settings = {'static_url_prefix... |
convertor.py | trankha1655/pan_pp.origin | 329 | 12723647 | <gh_stars>100-1000
import torch
import mmcv
import argparse
import os.path as osp
parser = argparse.ArgumentParser(description='Hyperparams')
parser.add_argument('checkpoint', nargs='?', type=str, default=None)
args = parser.parse_args()
dir_name = args.checkpoint.split("/")[-2]
checkpoint = torch.load(args.checkpoin... |
pims/process.py | tsmbland/pims | 208 | 12723694 | <filename>pims/process.py
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import numpy as np
from slicerator import pipeline, Pipeline
import six
@pipeline
def as_grey(frame):
"""Convert a 2D image or PIMS reader to greyscale.
This weights the col... |
tests/test_project/app_correct/models.py | christianbundy/django-migration-linter | 357 | 12723722 | from django.db import models
class A(models.Model):
null_field = models.IntegerField(null=True)
new_null_field = models.IntegerField(null=True)
|
ci-scripts/flatten_image.py | nstng/magma | 539 | 12723732 | """
Copyright 2022 The Magma Authors.
This source code is licensed under the BSD-style license found in the
LICENSE file in the root directory of this source tree.
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES O... |
boost_adaptbx/command_line/inexact.py | dperl-sol/cctbx_project | 155 | 12723786 | from __future__ import absolute_import, division, print_function
# LIBTBX_SET_DISPATCHER_NAME boost_adaptbx.inexact
import boost_adaptbx.boost.python as bp
import sys
def run(args):
assert len(args) == 0
print("Now creating a NaN in C++ as 0/0 ...")
sys.stdout.flush()
result = bp.ext.divide_doubles(0, 0)
p... |
torchbenchmark/models/fastNLP/test/modules/decoder/test_seq2seq_decoder.py | Chillee/benchmark | 2,693 | 12723821 | import unittest
import torch
from fastNLP import Vocabulary
from fastNLP.embeddings import StaticEmbedding
from fastNLP.modules import TransformerSeq2SeqDecoder
from fastNLP.modules import LSTMSeq2SeqDecoder
from fastNLP import seq_len_to_mask
class TestTransformerSeq2SeqDecoder(unittest.TestCase):
def test_cas... |
python/fate_client/pipeline/interface/data.py | hubert-he/FATE | 3,787 | 12723832 | <reponame>hubert-he/FATE<gh_stars>1000+
#
# Copyright 2019 The FATE Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/L... |
datasets/data_path/gen_bdd100k_mot.py | anonymous4669/MOTR | 191 | 12723857 | import os
import numpy as np
import json
import cv2
from tqdm import tqdm
from collections import defaultdict
def convert(img_dir, split, label_dir, save_label_dir, filter_crowd=False, filter_ignore=False):
cat2id = {'train':6, 'car':3, 'bus':5, 'other person': 1, 'rider':2, 'pedestrian':1, 'other vehicle':3, '... |
contrib/buildbot/test/test_testutil.py | syedrizwanmy/bitcoin-abc | 1,266 | 12723880 | <filename>contrib/buildbot/test/test_testutil.py
#!/usr/bin/env python3
#
# Copyright (c) 2020 The Bitcoin ABC developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
import unittest
from testutil import AnyWith
class TestOb... |
price_analysis/fit.py | kevaundray/research | 1,351 | 12723943 | <reponame>kevaundray/research<gh_stars>1000+
import spread
import math
import random
o = spread.declutter(spread.load('diff_txs_price.csv'))
diffs = [float(q[2]) for q in o]
prices = [float(q[1]) for q in o]
txs = [float(q[3]) for q in o]
txfees = [float(q[4]) for q in o]
def simple_estimator(fac):
o = [1]
... |
codigo/Live172/chalice-lambdas/app.py | BrunoPontesLira/live-de-python | 572 | 12723948 | from chalice import Chalice, Rate
import logging
app = Chalice(app_name='chalice-lambdas')
app.log.setLevel(logging.DEBUG)
@app.route('/')
def index():
return {'message': 'Olar Chalice!'}
@app.route('/batatinhas')
def batatinhas():
return {'message': 'Olar batatinhas!'}
@app.route('/query')
def query():... |
src/lib/_typeAliases.py | t3kt/raytk | 108 | 12724015 | from typing import Union, Optional
from _stubs import *
class StrParamT(Par, Union[Par, str]):
def eval(self) -> str: pass
class IntParamT(Par, Union[Par, str, int]):
def eval(self) -> int: pass
class FloatParamT(Par, Union[Par, str, float, int]):
def eval(self) -> float: pass
class DatParamT(Par, Union[Par, st... |
scripts/data/kitti2bb3txt.py | wuzzh/master_thesis_code | 206 | 12724017 | """
Script for translating the KITTI 3D bounding box annotation format into the BB3TXT data format.
A BB3TXT file is formatted like this:
filename label confidence xmin ymin xmax ymax fblx fbly fbrx fbry rblx rbly ftly
filename label confidence xmin ymin xmax ymax fblx fbly fbrx fbry rblx rbly ftly
filename label conf... |
roboticstoolbox/models/ETS/__init__.py | tassos/robotics-toolbox-python | 749 | 12724045 | from roboticstoolbox.models.ETS.Panda import Panda
from roboticstoolbox.models.ETS.Frankie import Frankie
from roboticstoolbox.models.ETS.Puma560 import Puma560
from roboticstoolbox.models.ETS.Planar_Y import Planar_Y
from roboticstoolbox.models.ETS.Planar2 import Planar2
from roboticstoolbox.models.ETS.GenericSeven im... |
mentalist/view/adder.py | qkum/mentalist | 1,293 | 12724050 | <gh_stars>1000+
import tkinter as Tk
from functools import partial
import datetime
import tkinter.messagebox
import locale
from .base_words import BaseWordsNode, center_window
from .const import NUMBER_LIST, DATE_FORMATS, SPECIAL_CHARACTERS
from .. import model
class AdderNode(BaseWordsNode):
'''Append and Prepe... |
Logistic Regression with StatsModels/logistic.py | joao-r-santos/DataSciencePython | 5,070 | 12724074 | <gh_stars>1000+
"""
Created on Wed Sep 09 12:38:16 2015
@author: ujjwal.karn
"""
import pandas as pd #for handling datasets
import statsmodels.api as sm #for statistical modeling
import pylab as pl #for plotting
import numpy as np #for numerical computation
# read ... |
macropy/experimental/test/pyxl_snippets.py | CyberFlameGO/macropy | 2,061 | 12724087 | # -*- coding: utf-8 -*-
import re
import unittest
from xml.etree import ElementTree
from macropy.case_classes import macros, case
from macropy.experimental.pyxl_strings import macros, p # noqa: F811
from macropy.tracing import macros, require # noqa: F811, F401
from pyxl import html # noqa: F401
def normalize(st... |
benchmarks/lucasb-eyer-heatmap/examples/customstamps.py | pointhi/benchmarks | 206 | 12724088 | #!/usr/bin/env python
# heatmap - High performance heatmap creation in C.
#
# The MIT License (MIT)
#
# Copyright (c) 2013 <NAME>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of
# this software and associated documentation files (the "Software"), to deal in
# the Software without re... |
RecoLocalCalo/Castor/test/castor_cfg.py | ckamtsikis/cmssw | 852 | 12724092 | <filename>RecoLocalCalo/Castor/test/castor_cfg.py
import FWCore.ParameterSet.Config as cms
process = cms.Process("CastorProducts")
process.load("FWCore.MessageLogger.MessageLogger_cfi")
# specify the correct database tags which contain the updated gains and channelquality flags
process.load("CondCore.DBCommon.CondDB... |
river/metrics/multioutput/micro.py | online-ml/creme | 1,105 | 12724096 | from river import metrics, utils
from river.metrics.multioutput.base import MultiOutputMetric
__all__ = ["MicroAverage"]
class MicroAverage(MultiOutputMetric, metrics.base.WrapperMetric):
"""Micro-average wrapper.
The provided metric is updated with the value of each output.
Parameters
----------
... |
taskwiki/completion.py | Jasha10/taskwiki | 465 | 12724107 | <filename>taskwiki/completion.py
from functools import reduce, wraps
import re
from tasklib import TaskWarrior
from taskwiki import constants
from taskwiki import regexp
def complete_last_word(f):
@wraps(f)
def wrapper(self, arglead):
before, sep, after = arglead.rpartition(' ')
comps = f(se... |
{{cookiecutter.project_slug}}/backend/app/app/api/api_v1/api.py | abnerjacobsen/full-stack | 516 | 12724110 | <filename>{{cookiecutter.project_slug}}/backend/app/app/api/api_v1/api.py<gh_stars>100-1000
# Import installed packages
# Import app code
from app.main import app
from app.core import config
from app.db.flask_session import db_session
from .api_docs import docs
from .endpoints import role
from .endpoints import toke... |
00Python/day12/PoliceVsTheif.py | HaoZhang95/PythonAndMachineLearning | 937 | 12724184 | """
警察vs土匪
"""
class Gun(object):
def __init__(self, model, damage):
# 型号
self.model = model
# 杀伤力
self.damage = damage
# 子弹数量，默认为0
self.bullet_count = 0
# 重写str
def __str__(self):
return "型号：%s, 杀伤力：%s, 子弹数量：%s" % (
self.model, sel... |
projects/causal_scene_generation/causal_model/game_characters/procedural_generation/game_character_scene.py | amoskowitz14/causalML | 354 | 12724209 | <reponame>amoskowitz14/causalML
from PIL import ImageOps, Image
import os
image_dict = {
"Satyr": {
"base_path": "../images/satyr/PNG/",
"Attacking": "/reference/Attacking/attack.png",
"Taunt": "/reference/Taunt/taunt.png",
"Walking": "/reference/Walking/walking.... |
flaskblog/auth/models.py | davshen/Flog | 202 | 12724247 | <reponame>davshen/Flog
from ..models import db
class OAuth2Token(db.Model):
id = db.Column(db.Integer(), primary_key=True)
name = db.Column(db.String(40))
token_type = db.Column(db.String(40))
access_token = db.Column(db.String(200))
refresh_token = db.Column(db.String(200))
expires_at = db.Co... |
third_party/chromite/cbuildbot/stages/handle_changes_stages_unittest.py | zipated/src | 2,151 | 12724263 | # Copyright 2017 The Chromium OS Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Module containing the unit tests for handle_changes_stages."""
from __future__ import print_function
import itertools
import mock
from chromite.cbui... |
web/migrations/0014_auto_20200115_2239.py | nonomal/oh-my-rss | 270 | 12724265 | # Generated by Django 2.2.7 on 2020-01-15 14:39
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('web', '0013_auto_20200108_2257'),
]
operations = [
migrations.AlterField(
model_name='article',
name='src_url',
... |
leetcode/138.copy-list-with-random-pointer.py | geemaple/algorithm | 177 | 12724282 | <reponame>geemaple/algorithm
# Definition for singly-linked list with a random pointer.
# class RandomListNode(object):
# def __init__(self, x):
# self.label = x
# self.next = None
# self.random = None
class Solution(object):
def copyRandomList(self, head):
"""
:type hea... |
tests/test_structs.py | avivazran/UnrealEnginePython | 2,350 | 12724320 | <filename>tests/test_structs.py
import unittest
import unreal_engine as ue
from unreal_engine.structs import ColorMaterialInput, Key
from unreal_engine.structs import StaticMeshSourceModel, MeshBuildSettings
class TestStructs(unittest.TestCase):
def test_new_struct(self):
material_input = ColorMaterialIn... |
tests/test_utils.py | hoechenberger/pycircstat | 125 | 12724331 | from __future__ import absolute_import
import numpy as np
from numpy.testing import assert_allclose
from pycircstat import utils
|
python/ql/test/experimental/dataflow/pep_328/package/subpackage2/moduleZ.py | timoles/codeql | 4,036 | 12724332 | eggs = "eggs"
|
backend/storage/async_s3.py | xuantan/viewfinder | 645 | 12724335 | # Copyright 2012 Viewfinder Inc. All Rights Reserved.
"""Async version of Amazon S3 access library.
The "boto" open source library supports synchronous operations against
S3, but does not have asynchronous support. In a high-scale server
environment, this is a real problem, because it is not permissible to
block thre... |
examples/application_factory/web.py | aronianm/flask-apscheduler | 942 | 12724339 | """Example web view for application factory."""
from flask import Blueprint
from .extensions import scheduler
from .tasks import task2
web_bp = Blueprint("web_bp", __name__)
@web_bp.route("/")
def index():
"""Say hi!.
:url: /
:returns: hi!
"""
return "hi!"
@web_bp.route("/add")
def add():
... |
test/test_functions.py | codeclimate-testing/falcon | 115 | 12724372 | <reponame>codeclimate-testing/falcon<filename>test/test_functions.py<gh_stars>100-1000
from testing_helpers import wrap
@wrap
def nested(x):
def f(y):
return y+y
return f(x)
def test_nested():
nested(3)
nested(3.0)
nested([1])
@wrap
def nested_closure(x):
def f(y):
return x + y
return f(... |
Python/Algorithms/Dynamic-Programming/0-1_knapsack.py | ThunderZ007/Data-Structures-and-Algorithms | 245 | 12724378 |
# Input Cases
t = int(input("\nTotal Test Cases : "))
for i in range(1,t+1):
print(f"\n------------ CASE #{i} -------------")
n = int(input("\nTotal Items : "))
m = int(input("Max Capacity : "))
v = [int(i) for i in input("\nValues : ").split(" ")]
w = [int(i) for i in input("Weights : ").split(" ")]
# Ta... |
main.py | ssysm/DD_KaoRou2 | 187 | 12724417 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import os, sys, requests
from random import randint
from PySide2.QtWidgets import QApplication, QSplashScreen
from PySide2.QtGui import QFont, QPixmap, QIcon
from PySide2.QtCore import Qt, QThread
from utils.main_ui import MainWindow
class downloadUpdates(QThread):
def ... |
brainstorm/layers/mask_layer.py | PyCN/brainstorm | 1,473 | 12724426 | #!/usr/bin/env python
# coding=utf-8
from __future__ import division, print_function, unicode_literals
from collections import OrderedDict
from brainstorm.layers.base_layer import Layer
from brainstorm.structure.buffer_structure import StructureTemplate
from brainstorm.structure.construction import ConstructionWrappe... |
leonardo/module/search/tasks.py | timgates42/django-leonardo | 102 | 12724427 | <gh_stars>100-1000
from __future__ import absolute_import
import os
from celery import shared_task
from django.core import management
from leonardo.decorators import catch_result
from django.conf import settings
@shared_task
@catch_result
def sync_search_indexes():
management.call_command('rebuild_index', intera... |
release/stubs.min/System/__init___parts/HttpStyleUriParser.py | htlcnn/ironpython-stubs | 182 | 12724447 | class HttpStyleUriParser(UriParser):
"""
A customizable parser based on the HTTP scheme.
HttpStyleUriParser()
"""
|
exercises/de/solution_03_14_03.py | Jette16/spacy-course | 2,085 | 12724472 | <filename>exercises/de/solution_03_14_03.py
from spacy.lang.de import German
nlp = German()
people = ["<NAME>", "<NAME>", "<NAME>"]
# Erstelle eine Liste von Patterns für den PhraseMatcher
patterns = list(nlp.pipe(people))
|
qf_lib/documents_utils/document_exporting/pdf_exporter.py | webclinic017/qf-lib | 198 | 12724473 | # Copyright 2016-present CERN – European Organization for Nuclear Research
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2... |
solutions/LeetCode/Python3/22.py | timxor/leetcode-journal | 854 | 12724487 | __________________________________________________________________________________________________
36ms
class Solution:
def generateParenthesis(self, n: 'int') -> 'List[str]':
if n == 0: return ['']
ans = []
def backtrack(S = '',left = 0, right = 0):
if len(S) == 2 * n:
... |
pyretri/datasets/folder/folder_base.py | dongan-beta/PyRetri | 1,063 | 12724532 | <gh_stars>1000+
# -*- coding: utf-8 -*-
import numpy as np
from PIL import Image
import pickle
import os
from abc import abstractmethod
from ...utils import ModuleBase
from typing import Dict, List
class FolderBase(ModuleBase):
"""
The base class of folder function.
"""
default_hyper_params = dict(... |
code_examples/cython_spring16/geometry_py.py | mikofski/thw-berkeley | 106 | 12724564 | <reponame>mikofski/thw-berkeley<gh_stars>100-1000
import math
def sum_circle(data, x, y, r):
"""Sum array values that fall within the given circle.
Parameters
----------
data : numpy.ndarray
The array to sum.
x, y, r : float
The center and radius of circle, in array coordinates.
... |
example_dialogs.py | timeopochin/picotui | 739 | 12724587 | from picotui.context import Context
from picotui.dialogs import *
with Context():
# Feel free to comment out extra dialogs to play with a particular
# in detail
d = DTextEntry(25, "Hello World", title="Wazzup?")
res = d.result()
d = DMultiEntry(25, 5, "Hello\nWorld".split("\n"), title="Comment:")
... |
homura/vision/models/densenet.py | wangjunyan305/homura | 102 | 12724628 | <reponame>wangjunyan305/homura
"""
DenseNet for CIFAR dataset proposed in Gao et al. 2016
https://github.com/liuzhuang13/DenseNet
"""
import torch
from torch import nn
from torch.nn import functional as F
from homura.vision.models import MODEL_REGISTRY
__all__ = ["densenet40", "densenet100", "CIFARDenseNet"]
_paddi... |
models/ops.py | yhgon/tacotron | 242 | 12724638 | import tensorflow as tf
from tensorflow.contrib.seq2seq.python.ops.helper import CustomHelper
from tensorflow.contrib.rnn import *
class InferenceHelper(CustomHelper):
def _initialize_fn(self):
# we always reconstruct the whole output
finished = tf.tile([False], [self._batch_size])
next_in... |
examples/plot_sars.py | skovic/SHARPpy | 163 | 12724658 | <reponame>skovic/SHARPpy<gh_stars>100-1000
"""
Plotting data from the SARS database
====================================
"""
import sharppy.sharptab as tab
import sharppy.databases.sars as sars
import numpy as np
import os
import matplotlib.pyplot as plt
database_fn = os.path.join( os.path.dirname( sars.__file__ ), ... |
GCC-paddle/gcc/tasks/__init__.py | S-HuaBomb/Contrib | 243 | 12724659 | from gcc.models.emb import (
FromNumpy,
FromNumpyAlign,
FromNumpyGraph,
GraphWave,
ProNE,
Zero,
)
def build_model(name, hidden_size, **model_args):
return {
"zero": Zero,
"from_numpy": FromNumpy,
"from_numpy_align": FromNumpyAlign,
"from_numpy_graph": FromNu... |
micro-benchmark/snippets/assignments/chained/main.py | WenJinfeng/PyCG | 121 | 12724689 | <filename>micro-benchmark/snippets/assignments/chained/main.py<gh_stars>100-1000
def func1():
pass
def func2():
pass
a = b = func1
b()
a = b = func2
a()
|
notebook/pandas_ohlc_downsampling.py | vhn0912/python-snippets | 174 | 12724711 | <gh_stars>100-1000
import pandas as pd
df = pd.read_csv('data/src/aapl_2015_2019.csv', index_col=0, parse_dates=True)['2017']
print(df)
# open high low close volume
# 2017-01-03 115.80 116.3300 114.760 116.15 28781865
# 2017-01-04 115.85 116.5100 115.750 116.02 21118116
# 2017-01... |
tests/pki/test_models.py | pythonModule/commandment | 138 | 12724716 | <reponame>pythonModule/commandment
import pytest
import os.path
import logging
from cryptography import x509
from cryptography.hazmat.primitives.asymmetric import rsa
from commandment.pki.models import RSAPrivateKey, CACertificate
logger = logging.getLogger(__name__)
class TestModels:
def test_rsa_privatekey_fr... |
models/data_manager.py | nawshad/multi-task-NLP | 308 | 12724721 | <reponame>nawshad/multi-task-NLP
'''
Script to manage datasets for multiple tasks
'''
from torch.utils.data import Dataset, DataLoader, BatchSampler
from utils.data_utils import TaskType, ModelType
import torch
import random
import logging
import json
logger = logging.getLogger("multi_task")
class allTasksDataset(Data... |
conanfile.py | dbacchet/entt | 6,792 | 12724781 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from conans import ConanFile
class EnttConan(ConanFile):
name = "entt"
description = "Gaming meets modern C++ - a fast and reliable entity-component system (ECS) and much more "
topics = ("conan," "entt", "gaming", "entity", "ecs")
url = "https://github.co... |
components/espcoredump/corefile/riscv.py | cablelabs/esp-idf | 8,747 | 12724822 | #
# Copyright 2021 Espressif Systems (Shanghai) CO., LTD
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... |
DEPRECATED_PYTHON_SRC/component/hosts.py | 17701253801/firefly-proxy | 5,895 | 12724834 | import os
import codecs
import json
import collections
from collections import defaultdict
from gevent import socket
from fnmatch import fnmatch
if os.name == 'nt':
import win_inet_pton
socket.inet_pton = win_inet_pton.inet_pton
socket.inet_ntop = win_inet_pton.inet_ntop
from gsocks.smart_relay import For... |
lib/oembed/utils.py | goztrk/django-htk | 206 | 12724839 | # Python Standard Library Imports
import re
# Third Party (PyPI) Imports
import requests
import rollbar
import six.moves.urllib as urllib
# HTK Imports
from htk.lib.oembed.cachekeys import OembedResponseCache
from htk.lib.oembed.constants import *
from htk.utils.request import get_current_request
def get_oembed_htm... |
opts.py | Nitin-Mane/dense-ulearn-vos | 157 | 12724853 | """
Copyright (c) 2021 TU Darmstadt
Author: <NAME> <<EMAIL>>
License: Apache License 2.0
"""
from __future__ import print_function
import os
import torch
import argparse
from core.config import cfg
def add_global_arguments(parser):
#
# Model details
#
parser.add_argument("--snapshot-dir", type=str, ... |
maro/cli/inspector/visualization.py | yangboz/maro | 598 | 12724866 | <reponame>yangboz/maro
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import argparse
from maro.cli.inspector.cim_dashboard import start_cim_dashboard
from maro.cli.inspector.citi_bike_dashboard import start_citi_bike_dashboard
from maro.cli.inspector.params import GlobalScenarios
if __name... |
ajenti-core/aj/security/verifier.py | ajenti/ajen | 3,777 | 12724876 | from jadi import service
import aj
@service
class ClientCertificateVerificator():
def __init__(self, context):
self.context = context
def verify(self, x509):
serial = x509.get_serial_number()
digest = x509.digest('sha1')
# logging.debug('SSL verify: %s / %s' % (x509.get_subjec... |
pandapower/test/loadflow/PF_Results.py | yougnen/pandapower | 104 | 12724904 | import numpy as np
def get_PF_Results():
results=\
{
10:
{
0:
{
'delta' :
{
'Yyn': np.array
([
#10,0,deltaYyn
#BusTr_HV,Tr_LV,Load
1.0000001787261197, 0.9990664471050634, 0.9408623912831601,
0.9999997973033823, 0.9989329879720452, 0.9398981202882926... |
samples/lightning/lit_mnist.py | elgalu/labml | 463 | 12724927 | <reponame>elgalu/labml
"""
Modified from https://colab.research.google.com/github/PytorchLightning/pytorch-lightning/blob/master/notebooks/01-mnist-hello-world.ipynb
Added labml logger
"""
import pytorch_lightning as pl
import torch
from pytorch_lightning.metrics.functional import accuracy
from torch import nn
from to... |
tests/modules/span_extractors/self_attentive_span_extractor_test.py | MSLars/allennlp | 11,433 | 12724935 | import numpy
import torch
from allennlp.modules.span_extractors import SpanExtractor, SelfAttentiveSpanExtractor
from allennlp.common.params import Params
class TestSelfAttentiveSpanExtractor:
def test_locally_normalised_span_extractor_can_build_from_params(self):
params = Params(
{
... |
tests/__init__.py | iiiusky/Sasila | 327 | 12724938 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import unittest2 as unittest
all_suite = unittest.TestLoader().discover(os.path.dirname(__file__), "test_*.py")
|
test/mitmproxy/proxy/layers/test_socks5_fuzz.py | KarlParkinson/mitmproxy | 24,939 | 12724966 | from hypothesis import given
from hypothesis.strategies import binary
from mitmproxy import options
from mitmproxy.connection import Client
from mitmproxy.proxy.context import Context
from mitmproxy.proxy.events import DataReceived
from mitmproxy.proxy.layers.modes import Socks5Proxy
opts = options.Options()
tctx = C... |
elliot/recommender/content_based/VSM/__init__.py | gategill/elliot | 175 | 12724969 | from .vector_space_model import VSM |
tests/__init__.py | asmeurer/nikola | 1,901 | 12724971 | """Tests for Nikola."""
|
components/isceobj/Util/geo/exceptions.py | vincentschut/isce2 | 1,133 | 12724976 | #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# Copyright 2012 California Institute of Technology. ALL RIGHTS RESERVED.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of th... |
tools/gen_header_v3.py | Kill-Console/xresloader | 219 | 12724987 | <reponame>Kill-Console/xresloader<filename>tools/gen_header_v3.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
import re
import string
import glob
import sys
from subprocess import Popen
work_dir = os.getcwd()
script_dir = os.path.dirname(os.path.realpath(__file__))
sys.path.append(script_dir)
os.chdir(sc... |
Python/ch6-1_b.py | andjor/deep-learning-with-csharp-and-cntk | 120 | 12725039 | import time
import datetime
import os
import sys
import numpy as np
use_cntk = True
if use_cntk:
try:
base_directory = os.path.split(sys.executable)[0]
os.environ['PATH'] += ';' + base_directory
import cntk
os.environ['KERAS_BACKEND'] = 'cntk'
except ImportError:
print('... |
angrutils/expr.py | Ashaya123/angr-utils | 226 | 12725040 | # Expression evaluation routines
import claripy
def get_signed_range(se, expr):
"""
Calculate the range of the expression with signed boundaries
"""
size = expr.size()
umin = umax = smin = smax = None
if not sat_zero(se, expr):
try:
umin = se.min(expr, extra_constraints=[cl... |
heath/main.py | 121121321/chaoxing_auto_sign | 287 | 12725048 | # -*- coding: utf8 -*-
import os
import re
import json
import configparser
import threading
from datetime import datetime
from urllib import parse
from urllib.parse import quote
import requests
class HeathReport(object):
def __init__(self, user):
"""
:params username: 手机号或学号
:params ... |
doc/integrations/label-studioAPI/setup.py | novium258/cortx-1 | 552 | 12725066 | <filename>doc/integrations/label-studioAPI/setup.py
from setuptools import setup
setup(
name='Cortx S3-Label Studio Integration',
version='1.0.0',
packages=[ '' ],
url='',
license='MIT ',
author='sumit',
author_email='<EMAIL>',
description='Cortx S3 integration with Label Studio, one of ... |
Python3/862.py | rakhi2001/ecom7 | 854 | 12725086 | <gh_stars>100-1000
__________________________________________________________________________________________________
sample 856 ms submission
class Solution:
def shortestSubarray(self, nums: List[int], k: int) -> int:
NOT_FOUND = -1
if not nums:
return NOT_FOUND
... |
linformer_pytorch/linformer_pytorch.py | tatp22/linformer-pytorch | 322 | 12725097 | <filename>linformer_pytorch/linformer_pytorch.py
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.checkpoint import checkpoint
def identity(x, *args, **kwargs):
return x
def get_act(activation):
if activation == "gelu":
return F.gelu
if activation == "relu":
... |
src/genie/libs/parser/iosxe/tests/ShowCdpNeighbors/cli/equal/device_output_5_expected.py | balmasea/genieparser | 204 | 12725099 | expected_output = {
"cdp": {
"index": {
1: {
"capability": "R S C",
"device_id": "Device_With_A_Particularly_Long_Name",
"hold_time": 134,
"local_interface": "GigabitEthernet1",
"platform": "N9K-9000v",
... |
LeetCode/python3/394.py | ZintrulCre/LeetCode_Archiver | 279 | 12725105 | class Solution:
def decodeString(self, s: str) -> str:
stack = []
stack.append([1, ""])
num = 0
for l in s:
if l.isdigit():
num = num * 10 + ord(l) - ord('0')
elif l == '[':
stack.append([num, ""])
num = 0
... |
Algo and DSA/LeetCode-Solutions-master/Python/number-of-rectangles-that-can-form-the-largest-square.py | Sourav692/FAANG-Interview-Preparation | 3,269 | 12725110 | <filename>Algo and DSA/LeetCode-Solutions-master/Python/number-of-rectangles-that-can-form-the-largest-square.py
# Time: O(n)
# Space: O(1)
class Solution(object):
def countGoodRectangles(self, rectangles):
"""
:type rectangles: List[List[int]]
:rtype: int
"""
result = mx =... |
tools/SDKTool/src/ui/tree/ui_tree/over_node_info.py | Passer-D/GameAISDK | 1,210 | 12725127 | # -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making GameAISDK available.
This source code file is licensed under the GNU General Public License Version 3.
For full details, please refer to the file "LICENSE.txt" which is provided as part of this source code package.
Copyright... |
examples/multiline_plot.py | ATayls/DnaFeaturesViewer | 391 | 12725130 | """In this example we plot a record fragment with sequence over multiple lines.
"""
from dna_features_viewer import BiopythonTranslator
translator = BiopythonTranslator()
graphic_record = translator.translate_record("example_sequence.gb")
subrecord = graphic_record.crop((1700, 2000))
fig, axes = subrecord.plot_on_mult... |
L1Trigger/GlobalTriggerAnalyzer/python/L1ExtraInputTagSet_cff.py | ckamtsikis/cmssw | 852 | 12725147 | # Set of input tags for L1Extra in agreement with L1Reco_cff
#
# <NAME> 2012-05-22
import FWCore.ParameterSet.Config as cms
L1ExtraInputTagSet = cms.PSet(
L1ExtraInputTags=cms.PSet(
TagL1ExtraMuon=cms.InputTag("l1extraParticles"),
TagL1ExtraIsoEG=cms.InputTag("l1extraParticles", "Isolated"),... |
attic/iterables/CACM/less_more.py | matteoshen/example-code | 5,651 | 12725166 | <reponame>matteoshen/example-code
"""
<NAME> - The Curse of the Excluded Middle
DOI:10.1145/2605176
CACM vol.57 no.06
"""
def less_than_30(n):
check = n < 30
print('%d < 30 : %s' % (n, check))
return check
def more_than_20(n):
check = n > 20
print('%d > 20 : %s' % (n, check))
return check
l =... |
src/quicknlp/metrics.py | jalajthanaki/quick-nlp | 287 | 12725175 | <reponame>jalajthanaki/quick-nlp
import torch
from fastai.core import to_np
import numpy as np
from nltk.translate.bleu_score import sentence_bleu, SmoothingFunction
def token_accuracy(preds, targs):
preds = torch.max(preds, dim=-1)[1]
return (preds[:-1] == targs.data).float().mean()
def perplexity(preds, t... |
modelvshuman/datasets/info_mappings.py | TizianThieringer/model-vs-human | 158 | 12725346 | from abc import ABC
class ImagePathToInformationMapping(ABC):
def __init__(self):
pass
def __call__(self, full_path):
pass
class ImageNetInfoMapping(ImagePathToInformationMapping):
"""
For ImageNet-like directory structures without sessions/conditions:
.../{category}/{im... |
etc/base_config.py | yandexdataschool/everware | 130 | 12725350 | # Basic configuration, you should not use this directly
# instead checkout local_config.py or local_dockermacine_config.py
# spawn with custom docker containers
c.JupyterHub.spawner_class = 'everware.CustomDockerSpawner'
c.Spawner.tls = False
c.Spawner.debug = True
c.Spawner.start_timeout = 1000
c.Spawner.http_time... |
third_party/WebKit/Tools/Scripts/webkitpy/layout_tests/models/testharness_results_unittest.py | wenfeifei/miniblink49 | 5,964 | 12725381 | # Copyright 2014 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import unittest
from webkitpy.layout_tests.models import testharness_results
class TestHarnessResultCheckerTest(unittest.TestCase):
def test_is_testh... |
src/oscar_accounts/management/commands/oscar_accounts_init.py | n8snyder/django-oscar-accounts | 149 | 12725438 | from django.core.management.base import BaseCommand
from oscar_accounts.setup import create_default_accounts
class Command(BaseCommand):
help = "Initialize oscar accounts default structure"
def handle(self, *args, **options):
create_default_accounts()
|
utils/font_tool.py | gregbugaj/TextGenerator | 166 | 12725462 | <gh_stars>100-1000
from fontTools.fontBuilder import TTFont
fonts = {}
def check(char, font_path):
if font_path in fonts:
font = fonts.get(font_path)
else:
font = TTFont(font_path)
fonts[font_path] = font
utf8_char = char.encode("unicode_escape").decode('utf-8')
if utf8_char.... |
lnbits/extensions/lnurlpos/migrations.py | blackcoffeexbt/lnbits-legend | 258 | 12725469 | async def m001_initial(db):
"""
Initial lnurlpos table.
"""
await db.execute(
f"""
CREATE TABLE lnurlpos.lnurlposs (
id TEXT NOT NULL PRIMARY KEY,
key TEXT NOT NULL,
title TEXT NOT NULL,
wallet TEXT NOT NULL,
currency TEXT NOT ... |
Chapter 05/crack_zip.py | Prakshal2607/Effective-Python-Penetration-Testing | 346 | 12725477 | import zipfile
filename = 'test.zip'
dictionary = 'passwordlist.txt'
password = None
file_to_open = zipfile.ZipFile(filename)
with open(dictionary, 'r') as f:
for line in f.readlines():
password = line.strip('\n')
try:
file_to_open.extractall(pwd=password)
password = '<PASSWORD>' % password
print passwo... |
notebook/random_random.py | vhn0912/python-snippets | 174 | 12725509 | import random
print(random.random())
# 0.4496839011176701
random.seed(0)
print(random.random())
# 0.8444218515250481
print(random.random())
# 0.7579544029403025
random.seed(0)
print(random.random())
# 0.8444218515250481
print(random.random())
# 0.7579544029403025
|
dreamplace/ops/density_overflow/density_overflow.py | xiefei1026/DREAMPlace | 323 | 12725524 | ##
# @file density_overflow.py
# @author <NAME>
# @date Jun 2018
# @brief Compute density overflow
#
import math
import torch
from torch import nn
from torch.autograd import Function
from dreamplace.ops.density_map.density_map import DensityMap as DensityMap
import pdb
class DensityOverflow(DensityMap):
"... |
tests/deployment/sagemaker/sagemaker_moto/__init__.py | Shumpei-Kikuta/BentoML | 3,451 | 12725594 | <reponame>Shumpei-Kikuta/BentoML<gh_stars>1000+
from moto.core.models import base_decorator
from tests.deployment.sagemaker.sagemaker_moto.model import sagemaker_backends
moto_mock_sagemaker = base_decorator(sagemaker_backends)
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.